STAT 323: Design and Analysis of Experiments I

Principles, construction and analysis of experimental designs. Completely randomized, randomized complete block, Latin squares, Graeco Latin squares, factorial, and nested designs. Fixed and random effects, expected mean squares, multiple comparisons, and analysis of covariance.
Statistics
JMP
Author

Rachel Roggenkemper

Published

January 1, 2022

This was my final project for this course, where my team designed and conducted a factorial experiment to investigate how different liquids (water, Coke, Diet Coke, and 2% milk) and submersion times (12, 24, and 36 hours) affected the weight of steel nails. Using a completely randomized design and two-way ANOVA, we explored main effects and interactions but ultimately found no statistically significant differences at the 5% level. Despite this, visual and descriptive patterns suggested potential effects worth investigating further in future studies.

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